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Process modeling and optimization

Xem 1-14 trên 14 kết quả Process modeling and optimization
  • Through the process of analysing related documents and object characteristics in FMCG companies, paper aim to build vehicle roung with me window (CVRTW) model to optimize the delivering process, thus satisfying customer demand. To ensure the quality of the results, the model will be solved using the simulated annealing algorithm (SAalgorithm).

    pdf8p vifilm 11-10-2024 1 0   Download

  • Using a data-driven approach to study and predict the shear strength of slender steel fiber reinforced concrete beams has great applicability for the design and construction process. Based on the data-driven approach, an Artificial Neural Network (ANN) model with some hyperparameters optimized by Particle Swarm Optimization (PSO) algorithm is successfully built.

    pdf12p vifaye 20-09-2024 2 1   Download

  • Treating dredged sediment is a complex processing and ongoing challenge. To utilize dredged sediment for the landfill or construction purposes, a material fabricated from a mixture of dredged sediment, Portland cement, and fly ash, was cured under room temperature and hydrothermal condition at 180 °C and 0.9 MPa pressure for 16 hours. The response surface methodology was used to evaluate the compressive strength of the material, with the range of factors investigated being the dredged sediments/solid ratio (0.3 - 0.9), cement/fly ash ratio (2 - 4), and water/solid ratio (0.45 - 0.55).

    pdf13p xuanphongdacy06 18-09-2024 3 1   Download

  • The study "Multi-objective solar building envelope design optimization" includes four main objectives: 1 - To explore the components of a building envelope design optimization framework that would be developed for the conceptual building design phase; 2 - To establish an optimization process for different BIPV application types; 3 - To investigate the optimization algorithms and methods that could be used to optimize building envelope design for BIPV; 4 - To develop and validate an optimization framework to integrate BIPV into the building structure.

    pdf158p runthenight04 02-02-2023 5 2   Download

  • Natural precious products such as aroma compounds, essential oils, and bio-activated materials are usually extracted from about 30,000 botanical species. These extracts are often high competitive market due to their small content (less than 1 %) in plants and high purification cost. Thus, development of a modeling for the optimization of the crude oil extraction is highly paid attention. In this work, a modeling of Vietnam lemongrass oil extraction using steam distillation is developed and the optimization of the process parameters is performed using response surface methodology (RSM).

    pdf6p abcxyz123_02 03-03-2020 31 2   Download

  • In this research, we lay out a model to estimate the effect of rainfall by simulating the actual physical processes of the rain drops forming on the surface of the blades of a vertical-axis wind turbine (VAWT), thereby determining optimal wetness, then power and performance respectively. This could have an effect on the control strategy necessary for designing and controlling wind turbine.

    pdf11p abcxyz123_02 03-03-2020 31 1   Download

  • (BQ) In this paper, attempts have been made to model and optimize process parameters in Electro-Discharge Machining (EDM) of tungsten carbide-cobalt composite (Iso grade: K10) using cylindrical copper tool electrodes in planing machining mode based on statistical techniques.

    pdf6p xuanphuongdhts 27-03-2017 34 2   Download

  • (BQ) In this paper, working current, working voltage, oil pressure, spark gap Pulse On Time and Pulse Off Time on Material Removal Rate (MRR) and Surface Finish (Ra) has been studied. Empirical models for MRR and Ra have been developed by conducting a designed experiment based on the Grey Relational Analysis. Genetic Algorithm (GA) based multi-objective optimization for maximization of MRR and minimization of Ra has been done by using the developed empirical models. Optimization results have been used for identifying the machining conditions.

    pdf10p xuanphuongdhts 27-03-2017 41 2   Download

  • (BQ) This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial neural networks (ANN) and genetic algorithm (GA) to improve prediction accuracy of the model with less dependency on the experimental data.

    pdf13p xuanphuongdhts 27-03-2017 56 2   Download

  • (BQ) The newly engineered metal matrix composite (MMC) of aluminium 7075 reinforced with 10 wt% of B4C particles were prepared by stir casting method. Experiments were carried out by adopting face centered central composite design of response surface methodology.

    pdf6p xuanphuongdhts 27-03-2017 40 3   Download

  • This paper proposes a new probabilistic algorithm for solving multi-objective optimization problems - Probability-Driven Search Algorithm. The algorithm uses probabilities to control the process in search of Pareto optimal solutions. Especially, we use the absorbing Markov Chain to argue the convergence of the algorithm. Authors test this approach by implementing the algorithm on some benchmark multi-objective optimization problems, and find very good and stable results.

    pdf11p nganga_02 09-09-2015 44 2   Download

  • EURASIP Journal on Applied Signal Processing 2003:10, 1016–1026 c 2003 Hindawi Publishing Corporation Model-Based Speech Signal Coding Using Optimized Temporal Decomposition for Storage and Broadcasting Applications Chandranath R. N. Athaudage ARC Special Research Center for Ultra-Broadband Information Networks (CUBIN), Department of Electrical and Electronic Engineering, The University of Melbourne, Victoria 3010, Australia Email: cath@ee.mu.oz.au Alan B. Bradley Institution of Engineers Australia, North Melbourne, Victoria 3051, Australia Email: abradley@ieaust.org.

    pdf11p sting12 10-03-2012 43 6   Download

  • EURASIP Journal on Applied Signal Processing 2003:3, 238–243 c 2003 Hindawi Publishing Corporation GA-Based Image Restoration by Isophote Constraint Optimization Jong Bae Kim Department of Computer Engineering, Kyungpook National University, 1370 Sangyuk-dong, Puk-gu, Daegu, 702-701, Korea Email: kjblove@ailab.knu.ac.kr Hang Joon Kim Department of Computer Engineering, Kyungpook National University, 1370 Sangyuk-dong, Puk-gu, Daegu, 702-701, Korea Email: kimhj@ailab.knu.ac.

    pdf6p sting12 10-03-2012 36 4   Download

  • For simplicity, in the example we have assumed that a new map is created at the end of every step. This is certainly a possibility, but it is not necessarily the best option. Later in this book, we will discuss data modeling and how to optimize the sequence of operations. In particular, Chapters 8 and 9 cover spatial operators and functions that make it possible to cluster some of the steps in the example into single queries, making the process much simpler and more efficient.

    pdf10p vongsuiphat 04-01-2010 94 13   Download

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